Generative AI in IoT
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Generative AI in IoT Market Size Growth Forecast: What to Expect by 2025?
The market size for generative AI in IoT has seen significant expansion in the past few years. Expanding from $1.58 billion in 2024 to $2.03 billion in 2025, it boasts a compound annual growth rate (CAGR) of 28.3%. Factors such as rising adoption of IoT devices, heightened demand for superior security, requirement for better operational efficiencies, advancements in AI technologies, growing magnitude of data, heightened emphasis on predictive maintenance, and the evolution of cloud computing have all contributed to the growth during the historic period.
How Will the Generative AI in IoT Market Size Evolve and Grow by 2029?
Significant expansion is predicted in the Generative AI in IoT market over the coming years, with projection estimates reaching $5.47 billion by 2029, projecting a CAGR of 28.1%. The contributory factors to this accelerated growth rate can be attributed to the escalating complexity of IoT systems, the amalgamation of AI with edge computing, the evolution of smart cities, amplified AI developmental investments, progress in natural language processing, the rise of personalization, and the enhancement of AI regulations and quality standards. Foreseen trends within this period encompass advancements in AI algorithm development, the integration of generative AI with 5G technology, expansion in autonomous systems, growth in AI-driven analytical tools, the proliferation of edge AI solutions, a surge in AI-fostered personalization features, alongside a concentrated focus on energy efficiency.
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What Drivers Are Propelling the Growth of Generative AI in IoT Market Forward?
The increasing requirement for anomaly detection within IoT networks is anticipated to stimulate generative AI’s growth within the IoT market. Anomaly detection pertains to the identification of unusual data patterns or behaviors within IoT devices. The heightened necessity for such detection arises from the demand for improved security, advanced problem detection, and the ability to uphold the dependability and effectiveness of linked systems. Generative AI enhances the anomaly detection process in IoT networks by applying sophisticated algorithms to identify abnormal patterns and behaviors, thus fortifying security, decreasing downtime, refining system performance, and aiding proactive maintenance and decision-making. For example, a report from Check Point, an Israeli software security provider, established that the initial two months of 2023 saw a 41% surge in the average weekly attacks per organization targeting IoT devices compared to 2022. On average, 54% of organizations confront attempted cyber-attacks on IoT devices every week. Hence, the soaring requirement for anomaly detection in IoT networks is powering the generation of AI in the IoT market.
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Which Emerging Trends Are Transforming the Generative AI in IoT Market in 2025?
Leading businesses in the generative AI in IoT sector are concentrating on creating technologically innovative solutions such as AI IoT security assistants. They aim to improve operational effectiveness, make complicated tasks simpler, and fill the cybersecurity knowledge void by harnessing the power of generative AI technology. By providing real-time security event analysis, automating the identification of threats, and generating useful insights to reduce risks, AI-powered security assistants boost cybersecurity. For example, in May 2024, Fortinet Inc., a cybersecurity firm based in the US, introduced its first-ever generative AI IoT security assistant as part of its enhanced GenAI network and security operation capabilities. By integrating FortiAI, Fortinet’s advanced context-aware AI assistant, this new service improves network and security management. The AI assistant is designed to respond to natural language queries, allowing IT and security teams to execute tasks such as GenAI-assisted scripting, IoT vulnerability detection, and simplified threat analysis much more efficiently. This solution not only fills the cybersecurity skills gap but also simplifies operations by making complex tasks quicker and easier to perform.
What Are the Key Segments in the Generative AI in IoT Market?
The generative AI in IoT market covered in this report is segmented –
1) By Technology Providers: Established AI Technology Companies, IoT Platform Providers, Cloud Service Providers, Specialized Generative AI Startups
2) By Deployment Mode: On Device, Cloud Based
3) By Application: Anomaly Detection, Predictive Maintenance, Adaptive Control, Resource Optimization, Personalized Services, Contextual Decision Making
4) By Industry Vertical: Manufacturing, Healthcare, Transportation, Agriculture, Other Industries
Subsegments:
1) By Established AI Technology Companies: Major AI Solution Providers, Global Tech Enterprises, AI-Focused Research Labs, AI Hardware Providers
2) By IoT Platform Providers: End-to-End IoT Platform Vendors, IoT Device Management Providers, Edge Computing Platform Providers, Connectivity Management Solutions
3) By Cloud Service Providers: Cloud Infrastructure Providers, Cloud-Based AI And ML Service Providers, Hybrid Cloud Solution Providers
4) By Specialized Generative AI Startups: Niche AI Startups Focused On IoT Integration, Emerging AI-Driven IoT Solutions Companies, Vertical-Specific AI Startups, Edge AI And Analytics Startups
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Who Are the Key Players Shaping the Generative AI in IoT Market’s Competitive Landscape?
Major companies operating in the generative AI in IoT market are Google LLC, Microsoft Corporation, Dell Technologies Inc., Bosch Group, Huawei Technologies Co. Ltd., Amazon Web Services Inc. (AWS), Siemens AG, General Electric Company (GE), Intel Corporation, accenture* plc, International Business Machines Corporation (IBM), Cisco Systems Inc., Qualcomm Incorporated, Oracle Corporation, Schneider Electric SE, Honeywell International Inc., SAP SE, Fujitsu Limited, NVIDIA Corporation, Keysight Technologies Inc, Fortinet, Inc, Hitachi Vantara LLC, PTC Inc., Palantir Technologies Inc., Temenos AG, C3.AI inc.
What Geographic Markets Are Powering Growth in the Generative AI in IoT Market?
North America was the largest region in the generative AI in IoT market in 2024. The regions covered in the generative AI in IoT market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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